Two Giant Steps Forward For Entrepreneurs

While entrepreneurship is in the news fairly regularly, I seldom make news myself.  Today, however there are two important updates for entrepreneurs everywhere.  Let me be brief…

The “Startup Owner’s Manual” goes On Press Tuesday 2/14
Two years in the making and literally ten years in development, I’m proud to announce that my new book, The Startup Owners Manual, goes onto the printing press next Tuesday.  This 608-page work is, as its subtitle says, “the step-by-step guide for building a great company.”  It’s the result of a decade of me learning from 1,000’s of entrepreneurs, corporate partners, students and scientists the best practices of what wins in startups. I’ve spent the last two years cramming knowledge into this new book.

In brief, the The Startup Owners Manual is far more detailed and more readable than Four Steps to the Epiphany, (most of the sentences are even finished!).  In fact, you could say that all that remains from my last book are the four steps of Customer Development.  Briefly, the new book:

  • Integrates Alexander Osterwalders “Business Model Canvas” as the front-end and “scorecard” for the customer discovery process.
  • Provides separate paths and advice for web/mobile products versus physical products
  • Offers a ton of detail and great tips on how to get, keep, and grow customers, recognizing that this happens very differently between web and physical channels.
  • and finally it teaches a “new math” for startups: “metrics that matter.”
While MBA’s have had a stack of texts to help them “execute” a business model, this book joins the growing library of books for practitioners for the “search” for the business model.

The Lean LaunchPad Online Class
My online Lean LaunchPad class has created a lot of buzz this week. As you may have heard, I was deep into the production of the lectures when I realized I was producing the wrong class.  The online class was originally based on my book The Four Steps to the Epiphany.

Only when I held the draft of my latest book, The Startup Owners Manual, in my hands, did it dawn on me that my online students deserved all the latest best practices of entrepreneurship and Customer Development. Not the stuff I taught a decade ago, but all that I’ve learned teaching the Lean LaunchPad in front of students at Stanford, Berkeley, Columbia and the National Science Foundation in the last year.  And I particularly wanted to incorporate everything I’ve spent two years integrating into The Startup Owners Manual into the class.

So apologies to all of you who were expecting the class this month.  I hope to get the updated version online in the next 60 days.  I’ll keep you updated on this blog as we record our lectures.

In the meantime, if you want to prepare for the class…or get a jump on your startup competition, you can start reading the “recommended text” for the online class right now by ordering my new book.  It is recommended—not required—reading for the free online course, and I believe it will be immensely helpful to the startup community at large.

Lessons Learned

  • Startups search for business models, exisitng companies execute them
  • There are tons of texts about execution, but a paucity of practical ones for founders on how to search
  • The Startup Owners Manual is the definitive reference book for founders, investors and everyone interested in startups
  • The Lean Launchpad on-line class will be based on the new book

The National Science Foundation Innovation Corps – Class 2: The Business Model Canvas

The Lean LaunchPad class for the National Science Foundation Innovation Corps is a new model of teaching startup entrepreneurship. This post is part two. Part one is here. Syllabus here.

The 21 NSF teams had been out of the classroom for just 15 hours as they filed back in with their business model canvas presentations.  Their assignment appeared (to them) to be deceptively simple:

  • Write down their initial hypotheses for the 9 components of their company’s business model (who are the customers? what’s the product? what distribution channel? etc.)
  • Come up with ways to test each of the 9 business model canvas hypotheses
    • Decide what constitutes a pass/fail signal for the test. At what point would you say that your hypotheses wasn’t even close to correct?
  • Consider if their business worth pursuing? (Give us an estimate of market size)
  • Start their team’s blog/wiki/journal to record their progress during for the class 

Teaching logistics
Each week every team presented a 5-minute summary of what they had done and what they learned that week. As each team presented, the teaching team would ask questions and give suggestions (at times direct, blunt and pointed) for things the students missed or might want to consider next week.

While the last sentence is short, it’s one of the key elements that made the class effective. Between the three of us on the teaching team there was 75 years of entrepreneurial experience. (The 2 VC’s between them probably have seen 1000’s of presentations.) While there’s no guarantee our comments were correct or we had any unique insight, we did have enough data for pattern recognition.

The instructors sat in the back of the room and used a shared Google spreadsheet for grading. We graded the teams on a scale of 1-10 and each of us left detailed comments the other teaching team members could share and comment on. Week after week it gave us a pretty detailed record of the progress and trajectory of each team.

(As great as the presentations may be, sitting through 21 of them in a row were exhausting. After this first cohort, the NSF will be putting 25 teams at a time in a class. We intend to break the group into three parallel presentation sections.)

All teams kept a blog – almost like a diary – to record everything they did outside the building. This let the teaching team keep tabs on their progress and offer advice in-between class sessions.

Getting the teams to blog required constant “encouragement,” but it was invaluable. First, as we had a window into each teams engagement with customers, it eliminated most of the surprises when they came into class to present. Second, the blog helped us see if they were gaining insight from their customer discovery. Insight is what enables entrepreneurs to iterate and pivot their business model. The goal wasn’t just to talk to lots of people – the goal was to learn from them. Finally, their blogs gave us and them a permanent record of who they talked to. Over time this contextual contact list will be turned into a shared contact database for all future NSF teams.

The 21 Teams Present
The first team up was Arka Lighting. We liked these guys, but for a while no one on the teaching team could figure out what their core technology was. We knew they wanted to make LED lights that had better performance because they would dissipate less heat.  Finally when we understood that their core technology was heat pipes, it wasn’t clear why that made them a better LED supplier.  Were they selling to end users? OEMs? Manufacturers? We suggested that perhaps they had jumped to too many assumptions.

If you can’t see the slide deck above, click here

Next up was SenSeveresolid-state hydrogen and hydrocarbon sensors for use in severe environments.  They were going to start with the $81M Chlorine market where they already had a partner. It seemed like a tiny business. Did they just want to become a licenser of technology? Were their other severe environments that their sensors fit into? Did customers just want the sensors or a more complete sensing solution?

If you can’t see the slide deck above, click here

Graphene Frontiers was next. Graphene is incredibly cool. It’s touted as the new “wonder material” and its inventors won the 2010 Nobel Prize in Physics. The team wanted to make wafer-scale Graphene films. And do it at ambient pressure. But their proposed products seemed like research lab selling other research labs low volume products. It seemed liked technology in search of a business. Reading the Graphene Frontiers blog for the first week, we realized that in a burst of enthusiasm they set up a Google AdWords campaign to drive traffic to their site!

If you can’t see the slide deck above, click here

Ground Flour Pharma was going to take Fluorine-18 and make a new generation of fluorodeoxyglucose (FDG) radiotracers for Positron emission tomography scanners. But it wasn’t clear who benefits enough to make this a business. If they need FDA trials is it worth the money needed for approval? Is this just a technology license or is it a company?

If you can’t see the slide deck above, click here

C6 Systems had a great set of photos with things on fire in the woods. It seemed like they were going to burn downed trees to do what? Make charcoal? It looked like fun but is this a hobby or a scalable business? Is their any patentable Intellectual Property? What was their Value Chain? Their blog showed a good head-start on talking to customers.

If you can’t see the slide deck above, click here

Photocatalyst made nanogrids that became miniaturized self-supported mats, similar to fishing nets, that float on water and rapidly decompose crude oil using sunlight. The result is that pollutants are turned into water, carbon dioxide and other biodegradable organics for environmental remediation. Their slides sounded like a technical presentation of nanocatalyst features but their blog showed that they had been actively talking to customers in the last two days.

If you can’t see the slide deck above, click here

After the teams presented it was the turn of the teaching team.  We presented our second lecture, this time on “Value Proposition.”

If you can’t see the slide deck above, click here

For tomorrow, the teams had 15-hours to get out of the building and talk to 10-15 customers and test their Value Proposition.

While most of the teams got on the phone or into their cars, a couple of others complained, “You didn’t tell us we were supposed to use our spare time to talk to customers. We thought this was just spare time.”

At first, I thought they were joking. Spare time? I don’t think you understand the key principle in a startup – there is no such thing as spare time. The clock is running and you’re burning cash.

Go!
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The Government Starts an Incubator: The National Science Foundation Innovation Corps

Over the last two months the U.S. government has been running one of the most audacious experiments in entrepreneurship since World War II.

They launched an incubator for the top scientists and engineers in the U.S.

This week we saw the results.

63 scientists and engineers in 21 teams made 2,000 customer calls in 8 weeks, turning laboratory ideas into formidable startups. 19 of the 21 teams are moving forward in commercializing their technology.

It was an extraordinary effort.

Your Country Needs You
In July I got a call from Errol Arkilic, a program manager at the National Science Foundation (NSF), the $6.8-billion U.S. government agency that supports research in all the non-medical fields of science and engineering.  “We’ve been reading your blog about your Lean Launchpad class.”  Wow, that’s nice, I thought, a call from a fan. No, the conversation was about to get more interesting.

“Our country needs you.” Say what? “Part of the NSF charter is to commercialize the best of the science and engineering research we fund. We want to make a bet that your Lean Launchpad class can apply the scientific method to market-opportunity identification. We think your class can train scientists to start companies better than how we’re doing it now.”  Uh oh, where’s this heading?  “We want to select the best of our researchers, pay them $50,000 to take your class and see if we can change the outcome of their careers and their research.”

“That’s great, maybe I can set up a class for you next year,” I replied.  The answer shot back, “We want the class to start in 90 days,”

I remember thinking, “Wow, whoever’s on the other end of phone sounds just like an entrepreneur, they were asking for the impossible.”  Just as I was computing whether this was possible, he added, “And we want to bring 25 new teams every quarter.”

So of course, I said yes.

While they’ll never admit it, the National Science Foundation was starting an incubatorthe Innovation Corps – to take the most promising research projects in American university laboratories and turn them into startups.

The Innovation Corps – Using the Lean LaunchPad as an Incubator for Scientists and Engineers

The Innovation Corps Startup Team
These weren’t 22-year olds who wanted to build a social shopping web site. Each of the teams selected by the NSF had a Principal Investigator – a research scientist who was a University professor; an Entrepreneurial Lead – a graduate student working in the Investigator’s lab; and a mentor from their local area who had business and/or domain expertise. And they were hard at work at some real science.

The I-Corps Incubator Program
Unlike other incubators, our Lean LaunchPad Class had a specific curriculum. We taught them the business model / customer development / agile development solution stack. This methodology forces rapid hypothesis testing and Customer Development by getting out of the building while building the product. (The mentors in our program are there to support the methodology, but aren’t there to tell stories.)

The gamble was that we could train Professors doing hard-core science, who had never been near a startup or Silicon Valley, to get out of the building and talk to customers and Pivot as easily as someone at a web startup.

The Scientists, the NSF and the teaching team were all going to go where no one had before.

Given that Silicon Valley had started with scientists and engineers not MBA’s, I thought this was a bet worth making.

The Curriculum
Since the teams were in Universities scattered across the U.S., we couldn’t keep them in Silicon Valley for all 8 weeks, so we tried an experiment in teaching remotely.

First, we brought all 21 teams to Stanford for 3-days of 10 hour-a-day classes in business model design and customer development. After returning to their schools, they got out of their labs while they built their products. Once a week, via Webex,they presented their Customer Development progress on line to the teaching team and the other teams. Then it was our turn, and we lectured all the teams remotely. After 7 weeks they returned to Silicon Valley for their final presentations.

(The class syllabus is here. The class textbooks were “The Four Steps to the Epiphany and Business Model Generation.”)

Assembling the Teaching Team
We recruited two veteran Venture Capital partners to be part of the 10-week teaching team: Jon Feiber, at Mohr Davidow and John Burke of True Ventures. Alexander Osterwalder joined us for the opening day, and Oren Jacob, ex-CTO of Pixar joined us for a finale.

The First Class
As the first class settled into their seats at Stanford I wondered if we were going to be able to get them to act like startups. Most of the Principal Investigators were professors. Some had their own labs managing large groups of researchers. Their average age was in the mid-40’s. Their mentors were at least that old. Only the Entrepreneurial Leads (the PI’s assistants) were in their mid to late 20’s.

Looking at them  I wondered if: 1) hard-core science and engineering projects could rapidly pivot, 2) if the Principal Investigators would simply “assign” the work to their graduate students. I thought about the common wisdom that only 20-year olds doing Internet startups could be agile. Some incubators would have labeled this group too old to be entrepreneurs. I smiled as I realized that I was older than most (but not all) of them.

The Stanford Lectures
Our first lecture was about 1) how to organize their thinking of what it takes to build a startup – the business model canvas and 2) how to test their hypotheses – the Customer Development Process.

Since the first part of the lecture was about Alexander Osterwalder’s Business Model Canvas, Osterwalder flew in from Switzerland to teach slides 20-76. And since the rest of the slides were about Customer Development, I taught those.

If you can’t see the slide deck above, click here.

The homework for the 21 teams in the next 24-hours? Come up with a business model canvas for their startup. And tell us how they will test each of their business model hypotheses.

As day one ended, I wondered what those canvases would look like.

Stay tuned for Part 2.
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The Startup Team

Individuals play the game, but teams beat the odds
SEAL Team saying

Over the last 40 years Technology investors have learned that the success of startups are not just about the technology but “it’s about the team.”

We spent a year screwing it up in our Lean LaunchPad classes until we figured out it was about having the right team.

Startup Team Lessons Learned
During the last 12 months we’ve taught 42 entrepreneurial teams with 147 students at Stanford, Berkeley, Columbia and the National Science Foundation. (As many teams as most startup incubators.)

Get into the Class
When I first started teaching hands-on, project/team entrepreneurship classes we’d take anyone who would apply. After awhile it became clear that by not providing an interview process we were doing these students a disservice. A good number of them just wanted an overview of what a startup was like – an entrepreneurial appreciation class (and we offer some great ones.) But some of our students hadn’t yet developed a passion for entrepreneurship and had no burning idea that they wanted to bring to market. Yet in class they’d be thrown into a “made-up in the first week” startup team and got dragged along as a spear-carrier for someone else’s vision.

Step One – Set a Bar
So as a first step we made students formally apply and  interview for the Lean LaunchPad class. We were looking for entrepreneurs who had great ideas and interest in making those ideas really happen. We’d hold mixers before the first class and the students would form their teams during week one of the class.

But we found we were wasting a week or more as the teams formed and their ideas gelled.

Step Two – Apply As A Team
So next time we taught, we had the students apply to the class as a team. We hold information sessions a month or more before the classes. Here students with preformed teams could come and have an interview with the teaching team and get admitted. Or those looking to find other students to join their team could mix and market their ideas or join others and then interview for a spot. This process moved the team logistics out of class time and provided us with more time for teaching.

But we had been selecting teams for admission on the basis of whether they had the best ideas. We should have known better.  In the classroom, as in startups, the best ideas in the hands of a B team is worse than a B idea in the hands of a world class team.

Here’s why.

Step Three – Hacker/Hardware, Hustler, Designer, Visionary
As we taught our Lean LaunchPad classes we painfully relearned the lesson that team composition matters as much or more than the product idea. And that teams matter as much in entrepreneurial classes as they do in startups.

 

In a perfect world you build your vision and your customers would run to buy your first product exactly as you spec’d and built it. We now know that this ‘build it and they will come” is a prayer rather than a business strategy.  In reality, a startup is a temporary organization designed to search for a repeatable and scalable business model. This means the brilliant idea you started with will change as you iterate and pivot your business model until you find product/market fit.

The above paragraph is worth reading a few times.

It basically says that a startup team needs to be capable of making sudden and rapid shifts – because it will be wrong a lot. Startups are inherently chaos. Conditions on the ground will change so rapidly that the original well-thought-out business plan becomes irrelevant.

And finding product/market fit in that chaos requires a team with a combination of skills.

What skills? Well it depends on the industry you’re in, but generally great technology skills (hacking/hardware/science) great hustling skills (to search for the business model, customers and market,) great user facing design (if you’re a web/mobile app,) and by having long term vision and product sense. Most people are good at one or maybe two of these, but it’s extremely rare to find someone who can wear all the hats.

It’s this combination of skills is why most startups are founded by a team, not just one person.

University Silos
While building these teams are hard in the real world, imagine how hard it is in a university with classes organized as silos. Business School classes were only open to business school students, Engineering School classes were only open to engineering school students, etc. No classes could be cross-listed. This meant that you couldn’t offer students an accurate simulation of what a startup team would look like. (In our business school classes we had students with great ideas but lacking the technical skills to implement it. And some of our engineering teams could have benefited from a role-model to follow as a hustler.)

So the next time we taught, we managed to ensure that the class was cross-listed and that the student teams had to have a mix of both business and engineering backgrounds.

I think we’ve finally got the team composition right – relearning all the lessons investors already knew.

But now on to the next goal – getting our mentor program correct.

Lessons Learned

  • Finding product/market fit in startup chaos requires a team with a combination of skills
  • Hacker/Hardware, Hustler, Designer, Visionary
  • At times an A+ market (huge demand, unmet need) may trump all
  • Getting the Mentors right is the next step

Listen to the post here: Download the Podcast here

How To Build a Web Startup – Lean LaunchPad Edition

If you’re an experienced coder and user interface designer you think nothing is easier than diving into Ruby on Rails, Node.js and Balsamiq and throwing together a web site. (Heck, in Silicon Valley even the waiters can do it.)

But for the rest of us mortals whose eyes glaze over at the buzzwords, the questions are, “How do I get my great idea on the web? What are the steps in building a web site?”  And the most important question is, “How do I use the business model canvas and Customer Development to test whether this is a real business?”

My first attempt at helping students answer these questions was by putting together the Startup Tools Page – a compilation of available web development tools. While it was a handy reference, it still didn’t help the novice.

So today, I offer my next attempt.

How To Build a Web Startup – The Lean LaunchPad Edition

Here’s the step-by-step process we suggest our students use in our Lean LaunchPad classes.

  1. Set up the logistics to manage your team
  2. Craft company hypotheses
  3. Write a value proposition statement that other people understand
  4. Set up the Website Logistics
  5. Build a “low-fidelity” web site
  6. Get customers to the site
  7. Add the backend code to make the site work
  8. Test the “problem” with customer data
  9. Test the “solution” by building the “high-fidelity” website
  10. Ask for money

(Use the Startup Tools Page as the resource for tool choices)

Step 1: Set Up Team Logistics

Step 2. Craft Your Company Hypotheses (use the Lean LaunchLab)

Step 3: Write a value proposition statement that other people understand

  • If you can’t easily explain why you exist, none of the subsequent steps matter.  A good format is “We help X do Y by doing Z”.
  • Once you have a statement in that format, find a few other people (doesn’t matter if they’re your target market) and ask them if it makes sense.
  • If not, give them a longer explanation and ask them to summarize that back to you.  Other people are often better than you at crafting an understandable value proposition.

Step 4: Website Logistics

  • Get a domain name for your company. To find an available domain quickly, try Domize or Domainr
  • Then use godaddy or namecheap to register the name. (RetailMeNot usually has ~ $8/year discount coupons for Godaddy You may want to register many different domains (different possible brand names, or different misspellings and variations of a brand name.)
  • Once you have a domain, set up Google Apps on that domain (for free!) to host your company name, email, calendar, etc
  • Read Learning how to code

 For coders: set up a web host

  • Use virtual private servers (VPS) like Slicehost or Linode (cheapest plans ~$20/month, and you can run multiple apps and websites)
  • You can install Apache or Nginx with virtual hosting, and run several sites plus other various tools of your choice (assuming you have the technical skills of course) like a MySQL database
  • If you are actually coding a real app, (rather than for class) use a “Platform As A Service” (PAAS) like Heroku, DotCloud or Amazon Web Services if your app development stack fits their offerings
  • BTW: You can see the hosting choices of YCombinator startups here

Customer Discovery for the Web

Step 5: Build a Low-Fidelity Web Site

  • Depending on your product, this may be as simple as a splash page with: your value proposition, benefits summary, and a call-to-action to learn more, answer a short survey, or pre-order.)
  • For surveys and pre-order forms, Wufoo and Google Forms can easily be embedded within your site with minimal coding.

 For non-coders:

For coders: build the User Interface

Step 6: Customer Engagement (drive traffic to your preliminary website)

  • Start showing the site to potential customers, testing customer segment and value proposition
  • Use Ads, textlinks or Google AdWords, Facebook ads and natural search to drive people to your Minimally Viable web site
  • Use your network to find target customers – ask your contacts, “Do you know someone with problem X? If so, can you forward this message on to them?” and provide a 2-3 sentence description
  • For B2B products, Twitter, Quora, and industry mailing lists are a good place to find target customers. Don’t spam these areas, but if you’re already an active participant you can sprinkle in some references to your site or you can ask a contact who is already an active participant to do outreach for you.
  • Use MailchimpPostmark or Google Groups to send out emails and create groups
  • Create online surveys with Wufoo or Zoomerang
  • Get feedback on your Minimum Viable Product (MVP) features and User Interface

Step 7: Build a more complete solution (Connect the User Interface to code)

Step 8: Test the “Customer Problem” by collecting Customer Data

  • Use Web Analytics to track hits, time on site, source.  For your initial site, Google Analytics provides adequate information with the fastest setup.  Once you’ve moved beyond your initial MVP, you’ll want to consider a more advanced analytic platform (Kissmetrics, Mixpanel, Kontagent, etc)
  • Create an account to measure user satisfaction (GetSatisfaction, UserVoice, etc.) from your product and get feedback and suggestions on new features
  • Specific questions, such as “Is there anything preventing you from signing up?” or “What else would you need to know to consider this solution?” tend to yield richer customer feedback than generic feedback requests.
  • If possible, collect email addresses so that you have a way to contact individuals for more in-depth conversations.

Step 9: Test the “Customer Solution” by building a full featured High Fidelity version of your website

  • Update the Website with information learned in Step 5-8
  • Remember that “High Fidelity” still does not mean “complete product”. You need to look professional and credible, while building the smallest possible product in order to continue to validate.
  • Keep collecting customer analytics
  • Hearing “This is great, but when are you going to add X?” is your goal!

Step 10: Ask for money

  • Put a “pre-order” form in place (collecting billing information) even before you’re ready to collect money or have a full product.
  • When you’re ready to start charging – which is probably earlier than you think – find a billing provider such as Recurly, Chargify, or PayPal to collect fees and subscriptions.

For all Steps: Monitor and record changes week by week using a WordPress blog

For Class: Use the data collected to produce a 7-minute weekly progress presentation

  • Start by putting up your business model canvas
  • Changes from the prior week should be highlighted in red
  • Lessons Learned.  This informs the group of what you learned and changed week by week – Slides should describe:
  1. Here’s what we thought (going into the week)
  2. Here’s what we found (Customer Discovery during the week)
  3. Here’s what we’re going to do (for next week)
  4. Emphasis should be on the discovery done for that weeks assigned canvas component (channel, customer, revenue model) but include other things you learned about the business model.

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If you’re Building a Company Rather Than a Class Project

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Thanks for the comments, suggestions, corrections, and additions. Updates added.
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Eureka! A New Era for Scientists and Engineers

Silicon Valley was born in an era of applied experimentation driven by scientists and engineers. It wasn’t pure research, but rather a culture of taking sufficient risks to get products to market through learning, discovery, iteration and execution. This approach would shape Silicon Valley’s entrepreneurial ethos: In startups, failure was treated as experience (until you ran out of money).

The combination of Venture Capital and technology entrepreneurship is one of the great business inventions of the last 50 years. It provides private funds for untested and unproven technology and entrepreneurs. While most of these investments fail, the returns for the ones that win are so great they make up for the failures. The cultural tolerance for failure and experimentation, and a financial structure which balanced risk, return and obscene returns, allowed this system flourish in technology clusters in United States, particularly in Silicon Valley.

Yet this system isn’t perfect. From the point of view of scientists and engineers in a university lab, too often entrepreneurship in all its VC-driven glory – income statements, balance sheets, business plans, revenue models, 5-year forecasts, etc. – seems like another planet. There didn’t seem to be much in common between the Scientific Method and starting a company. And this has been a barrier to commercializing the best of our science research.

Until today.

Today, the National Science Foundation (NSF) – the $6.8-billion U.S. government agency that supports research in all the non-medical fields of science and engineering – is changing the startup landscape for scientists and engineers. The NSF has announced the Innovation Corps – a program to take the most promising research projects in American university laboratories and turn them into startups. It will train them with a process that embraces experimentation, learning, and discovery.

The NSF will fund 100 science and engineering research projects every year. Each team accepted into the program will receive $50,000.

To commercialize these university innovations NSF will be putting the Innovation Corps (I-Corps) teams through a class that teaches scientists and engineers to treat starting a company as another research project that can be solved by an iterative process of hypotheses testing and experimentation. The class will be a version of the Lean LaunchPad class we developed in the Stanford Technology Ventures Program, (the entrepreneurship center at Stanford’s School of Engineering).

—–

This is a big deal. Not just for scientists and engineers, not just for every science university in the U.S., but in the way we think about bringing discoveries ripe for innovation out of the university lab. If this program works it will change how we connect basic research to the business world. And it will lead to more startups and job creation.

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Introducing the Innovation-Corps
The NSF Innovation-Corps program (I-Corps) is designed to help bridge the gap between the many scientists and engineers with innovative research and technologies, but little knowledge of the first steps to take in starting a company.

I-Corps will help scientists take the first steps from the research lab to commercialization.

Over a period of six months, each I-Corps team, guided by experienced mentors (entrepreneurs and VC’s) will build their product and get out of their labs (and comfort zone) to discover who are their potential customers, and how those customers might best use the new technology/invention. They’ll explore the best way to deliver the product to customers, the resources required, as well as competing technologies.  They will answer the question, “What value will this innovation add to the marketplace? And they’ll do this using the business model / customer development / agile development solution stack.

At the end of the program each team will understand what it will takes to turn their research into a commercial success. They may decide to license their intellectual property based on their research. Or they may decide to cross the Rubicon and try to get funded as a startup (with strategic partners, investors, or NSF programs for small businesses). At the end of the class there will be a Demo Day when investors get to see the best this country’s researchers have to offer.

What Took You So Long
A first reaction to the NSF I-Corps program might be, “You mean we haven’t already been doing this?”  But on reflection it’s clear why.  The common wisdom was that for scientists and engineers to succeed in the entrepreneurial world you’d have to teach them all about business. But it’s only now that we realize that’s wrong.  The insight the NSF had is that we just need to teach scientists and engineers to treat business models as another research project that can be solved with learning, discovery and experimentation.

And Stanford’s Lean LaunchPad class could do just that.

Join the I-Corps
Today at 2pm the National Science Foundation is publishing the application for admission (what they call the “solicitation for proposals”) to the program. See the NSF web page here.

The syllabus for NSF I-Corps version of the Lean LaunchPad class can be seen here.

Along with a great teaching team at Stanford, world-class VC’s who get it, and foundation partners, I’m proud to be a part of it.

This is a potential game changer for science and innovation in the United States.

Join us.

Apply now.
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How Scientists and Engineers Got It Right, and VC’s Got It Wrong

Scientists and engineers as founders and startup CEOs is one of the least celebrated contributions of Silicon Valley.

It might be its most important.
———-

ESL, the first company I worked for in Silicon Valley, was founded by a PhD in Math and six other scientists and engineers. Since it was my first job, I just took for granted that scientists and engineers started and ran companies.  It took me a long time to realize that this was one of Silicon Valley’s best contributions to innovation.

Cold War Spin Outs
In the 1950’s the groundwork for a culture and environment of entrepreneurship were taking shape on the east and west coasts of the United States. Each region had two of the finest research universities in the United States, Stanford and MIT, which were building on the technology breakthroughs of World War II and graduating a generation of engineers into a consumer and cold war economy that seemed limitless. Each region already had the beginnings of a high-tech culture, Boston with Raytheon, Silicon Valley with Hewlett Packard.

However, the majority of engineers graduating from these schools went to work in existing companies.  But in the mid 1950’s the culture around these two universities began to change.

Stanford – 1950’s Innovation
At Stanford, Dean of Engineering/Provost Fred Terman wanted companies outside of the university to take Stanford’s prototype microwave tubes and electronic intelligence systems and build production volumes for the military. While existing companies took some of the business, often it was a graduate student or professor who started a new company. The motivation in the mid 1950’s for these new startups was a crisis – we were in the midst of the cold war, and the United States military and intelligence agencies were rearming as fast as they could.

Why It’s “Silicon” Valley
In 1956 entrepreneurship as we know it would change forever.  At the time it didn’t appear earthshaking or momentous. Shockley Semiconductor Laboratory, the first semiconductor company in the valley, set up shop in Mountain View. Fifteen months later eight of Shockley’s employees (three physicists, an electrical engineer, an industrial engineer, a mechanical engineer, a metallurgist and a physical chemist) founded Fairchild Semiconductor.  (Every chip company in Silicon Valley can trace their lineage from Fairchild.)

The history of Fairchild was one of applied experimentation. It wasn’t pure research, but rather a culture of taking sufficient risks to get to market. It was learning, discovery, iteration and execution.  The goal was commercial products, but as scientists and engineers the company’s founders realized that at times the cost of experimentation was failure. And just as they don’t punish failure in a research lab, they didn’t fire scientists whose experiments didn’t work. Instead the company built a culture where when you hit a wall, you backed up and tried a different path. (In 21st century parlance we say that innovation in the early semiconductor business was all about “pivoting” while aiming for salable products.)

The Fairchild approach would shape Silicon Valley’s entrepreneurial ethos: In startups, failure was treated as experience (until you ran out of money.)

Scientists and Engineers as Founders
In the late 1950’s Silicon Valley’s first three IPO’s were companies that were founded and run by scientists and engineers: Varian (founded by Stanford engineering professors and graduate students,) Hewlett Packard (founded by two Stanford engineering graduate students) and Ampex (founded by a mechanical/electrical engineer.) While this signaled that investments in technology companies could be very lucrative, both Shockley and Fairchild could only be funded through corporate partners – there was no venture capital industry. But by the early 1960′s the tidal wave of semiconductor startup spinouts from Fairchild would find a valley with a growing number of U.S. government backed venture firms and limited partnerships.

A wave of innovation was about to meet a pile of risk capital.

For the next two decades venture capital invested in things that ran on electrons: hardware, software and silicon. Yet the companies were anomalies in the big picture in the U.S. – there were almost no MBA’s. In 1960’s and ‘70’s few MBA’s would give up a lucrative career in management, finance or Wall Street to join a bunch of technical lunatics. So the engineers taught themselves how to become marketers, sales people and CEO’s. And the venture capital community became comfortable in funding them.

Medical Researchers Get Entrepreneurial
In the 60’s and 70’s, while engineers were founding companies, medical researchers and academics were skeptical about the blurring of the lines between academia and commerce. This all changed in 1980 with the Genentech IPO.

In 1973, two scientists, Stanley Cohen at Stanford and Herbert Boyer at UCSF, discovered recombinant DNA, and Boyer went on to found Genentech. In 1980 Genentech became the first IPO of a venture funded biotech company. The fact that serious money could be made in companies investing in life sciences wasn’t lost on other researchers and the venture capital community.

Over the next decade, medical graduate students saw their professors start companies, other professors saw their peers and entrepreneurial colleagues start companies, and VC’s started calling on academics and researchers and speaking their language.

Scientists and Engineers = Innovation and Entrepreneurship
Yet when venture capital got involved they brought all the processes to administer existing companies they learned in business school – how to write a business plan, accounting, organizational behavior, managerial skills, marketing, operations, etc. This set up a conflict with the learning, discovery and experimentation style of the original valley founders.

Yet because of the Golden Rule, the VC’s got to set how startups were built and managed (those who have the gold set the rules.)

Fifty years later we now know the engineers were right. Business plans are fine for large companies where there is an existing market, product and customers, but in a startup all of these elements are unknown and the process of discovering them is filled with rapidly changing assumptions.

Startups are not smaller versions of large companies. Large companies execute known business models. In the real world a startup is about the search for a business model or more accurately, startups are a temporary organization designed to search for a scalable and repeatable business model.

Yet for the last 40 years, while technical founders knew that no business plan survived first contact with customers, they lacked a management tool set for learning, discovery and experimentation.

Earlier this year we developed a class in the Stanford Technology Ventures Program, (the entrepreneurship center at Stanford’s School of Engineering), to provide scientists and engineers just those tools – how to think about all the parts of building a business, not just the product. The Stanford class introduced the first management tools for entrepreneurs built around the business model / customer development / agile development solution stack. (You can read about the class here.)

So what?

Starting this Thursday, scientists and engineers across the United States will once again set the rules.

Stay tuned for the next post.
Listen to the post here: Download the Podcast here

Reinventing the Board Meeting – Part 2 of 2 – Virtual Valley Ventures

There is nothing more powerful than an idea whose time has come
Victor Hugo

When The Boardroom is Bits
A revolution has taken hold as customer development and agile engineering reinvent the Startup process. It’s time to ask why startup board governance has failed to keep pace with innovation. Board meetings that guide startups haven’t changed since the early 1900’s.

It’s time for a change.

Reinventing the board meeting may allow venture-backed startups a more efficient, productive way to direct and measure their search for a profitable business model.

Reinventing the board meeting may offer angel-funded startups that don’t have formal boards or directors (because of geography or size of investment) to attract experienced advice and investment outside of technology clusters (i.e. Silicon Valley, New York).

Here’s how.

A Hypothesis – The Boardroom As Bits
Startups now understand what they should be doing in their early formative days is search for a business model. The process they use to guide their search is customer development. And to track their progress startups now have a scorecard to document their week-by-week changes – the business model canvas.

Yet even with all these tools, early stage startups still need to physically meet with advisors and investors. That’s great if you can get it.  But what if you can’t?

What’s missing is a way to communicate all this complex information and get feedback and guidance for startups who cannot get advice in a formal board meeting.

We propose that early stage startups communicate in a way that didn’t exist in the 20th century – online – collaboratively through blogs.

We suggest that the founders/CEO invest 1 hour a week providing advisors and investors with “Continuous Information Access” by blogging and discussing their progress online in their startup’s search for a business model. They would:

What Does this Change?
1) Structure. Founders operate in a chaotic regime. So it’s helpful to have a structure that helps “search”
 for a business model. The “boardroom as bits” uses Customer Development as the process for the search, and the business model canvas as the scorecard to keep track of the progress, while providing a common language for the discussion.

This approach offers VC’s and Angels a semi-formal framework for measuring progress and offering their guidance in the “search”
 for a business model. It turns ad hoc startups into strategy-driven startups.

2) Asynchronous Updates. Interaction with advisors and board members can now be decoupled from the – once every six weeks, “big event” – board meeting. Now, as soon as the founders post an update, everyone is notified. Comments, help, suggestions and conversation can happen 24/7. For startups with formal boards, it makes it easy to implement, track, and follow-up board meeting outcomes.

Monitoring and guiding a small angel investment no longer requires the calculus to decide whether the investment is worth a board commitment. It potentially encourages investors who would invest only if they had more visibility but where the small number of dollars doesn’t justify the time commitment.

A board as bits ends the repetition of multiple investor coffees. It’s highly time-efficient for investor and founder alike.

3) Coaching. This approach allows real-time monitoring of a startup’s progress and zero-lag for coaching and course-correction.  It’s not just a way to see how they’re doing. It also provides visibility for a deep look at their data over time and facilitates delivery of feedback and advice.

4) Geography. When the boardroom is bits, angel-funded startups can get experienced advice – independent of geography. An angel investor or VC can multiply their reach and/or depth. In the process it reduces some of the constraints of distance as a barrier to investment.

Imagine if a VC took $4 million (an average Series A investment) and instead spread it across 40 deals at $100K each in a city with a great outward-facing technology university outside of Silicon Valley. In the past they had no way to monitor and manage these investments. Now they can. The result – an instant technology cluster – with equity at a fraction of Silicon Valley prices.  It might be possible to create Virtual Valley Ventures.

We Ran the Experiment
At Stanford our Lean Launchpad class ran an experiment that showed when “the boardroom is bits” can make a radical difference in the outcome of an early stage startup.

Our students used Customer Development as the process to search for a business model. The used a blog to record their customer learning, and their progress and issues. The blog became a narrative of the search by posting customer interviews, surveys, videos, and prototypes. They used the Business Model Canvas as a scorekeeping device to chart their progress. The result invited comment from their “board” of the teaching team.

Here are some examples of how rich the interaction can become when a management team embraces the approach.

We were able to give them near real-time feedback as they posted their results. If we had been a board rather than a teaching team we would have added physical reality checks with Skype and/or face-to-face meetings.

Show Me the Money
While this worked in the classroom, would it work in the real world? I thought this idea was crazy enough to bounce off a five experienced Silicon Valley VC’s. I was surprised at the reaction – all of them want to experiment with it. Jon Feiber at MDV is going to try investing in startups emerging from Universities with great engineering schools outside of Silicon Valley that have entrepreneurship programs, but minimal venture capital infrastructure. (The University of Michigan is a possible first test.) Kathryn Gould of Foundation Capital and Ann Miura-Ko of Floodgate also want to try it.

Shawn Carolan of Menlo Ventures not only thought the idea had merit but seed-funded the LeanLaunchLab, a startup building software to automate and structure this process. (More than 700 startups signed up for the LeanLaunchLab software the day it was first demo’d.) Other entrepreneurs think this is an idea whose time has come and are also building software to manage this process including Alexander Osterwalder, Groupiter, and Angelsoft. Citrix thought this was such a good idea that their Startup Accelerator has offered to provide GoToMeeting and GoToMeeting HD Faces free to participating VC’s and startups. Contact them here.

Summary
For startups with traditional boards, I am not suggesting replacing the board meeting – just augmenting it with a more formal, interactive and responsive structure to help guide the search for the business model. There’s immense value in face-to-face interaction. You can’t replace body language.

But for Angel-funded companies I am proposing that a “board meeting in bits” can dramatically change the odds of success. Not only does this approach provide a way for founders to “show your work” to potential and current investors and advisors, but also it helps expand opportunities to attract investors from outside the local area.

Lessons Learned

  • Startups are a search for a business model
  • Startups can share their progress/get feedback in the search
  • Weekly blog of the customer development narrative
  • Weekly summary of the business model canvas
  • Interactive comments and questions
  • Skype and face-to-face when needed
  • This may be a way to augment traditional board meetings
  • This might be a way to rethink our notion of geography as a barrier to investments

Or watch the video here.
Listen to the post here: Download the Podcast here

Why Board Meetings Suck – Part 1 of 2

There are none so blind as those who will not see.
Jonathan Swift

What’s Wrong With Today’s Board Meetings
As customer and agile development reinvent the Startup, it’s time to ask why startup board governance has not kept up with the pace of innovation. Board meetings that guide startups haven’t changed since the early 1900’s.

It’s time.

Reinventing the board meeting may offer venture-backed startups a more efficient, productive way to direct and measure their search for a profitable business model.

Reinventing the board meeting may offer angel-funded startups – which because of geography or size of investment typically don’t have formal boards or directors – to attract experienced advice and investment outside of technology clusters (i.e. Silicon Valley, New York).

Here’s how.

Because We’ve Always Done It This Way
The combination of Venture Capital and technology startups is only about 50 years old. Rather than invent a new form of corporate governance, venture investors adopted the traditional board meeting structure from large corporations. Yet boards of large companies exist to monitor efficient strategy and execution of a known business model. While startups eventually get into execution mode, their initial stages are devoted to a non-linear, chaotic search for a business model: finding product/market fit to identify a product or service people will buy in droves at a sustainable, profitable pace.

In the last few years, our understanding that startups are not smaller versions of large companies, made us recognize that startups need their own tools, different from those used in existing companies: Customer Development – the process to search for a Business Model, the Business Model Canvas – the scorecard to measure progress in the search, and Agile Engineering – the tools to physically construct the product.

Yet while we’ve reinvented how startups build their companies, startup investors are still having board meetings like it’s the 19th century.

Why Have a Board Meeting?
From a VC’s point of view there are two reasons for board meetings.

1) It’s their fiduciary responsibility. Once a startup gets going, it has asymmetric information. Investors get board seats to assure themselves and their limited partners that they are duly informed about their investment.

2) Investors believe that their experience and guidance can maximize their return. Here it’s the board that has asymmetric knowledge. A veteran board can bring 50-100x more experience into a board meeting than a first time founder. (VC’s sit on 6 – 12 boards at a time. Assume an average tenure of 4 years per board. Assume two veteran VC’s per board.
=
50-100x more experience.)

From a founder’s point of view there are three reasons for board meetings.

1) It’s an obligation that came with the check.

2) Founders who have a great board do recognize the uncanny pattern recognition skills that good VC’s bring.

3) An experienced board brings an extensive network of customers, partners, help in recruiting, follow-on financing, etc.

What’s Wrong With a Board Meeting?
The Wrong Metrics. Traditional startup board meetings spend an insane amount of wasted time using Fortune 100 company metrics like income statements, cash flow, balance sheet, waterfall charts. The only numbers in those documents that are important in the first year of a startup’s life are burn rate and cash balance. Most board meetings never get past big company metrics to focus on the crucial startup numbers. That’s simply a failure of a startup board’s fiduciary responsibility.

The Wrong Discussions. The most important advice/guidance that should come from investors in a board meeting is about a startup’s search for a business model: What are the business model hypotheses? What are the most important hypotheses to test now? How are we progressing validating each hypothesis? What do those numbers/metrics look like? What are the iterations and Pivots – and why?

Not Real-time.  Startup board meetings occur every 4-6 weeks. While that’s great when you showed up in your horse and buggy, the strategy-to-tactic-to implementation lag is painful at Internet speeds. And unless there’s rigor in the process, because there is no formal structure for follow up, tracking what happened as a result of meeting recommendations and action items gets lost in the daily demands of everyone’s work. (Of course great VC’s mix in coffees, phone calls, coaching and other non-board meeting interactions but it’s ad hoc and not always done.)

Wastes Founders Time. For the founders, “the get ready for the board meeting” drill is often a performance rather than a snapshot. Powerpoints, spreadsheets and rehearsals consume time for materials that are used once and discarded. There are no standards for what each side (board versus management) does. What is the entrepreneur supposed to be doing? What are the board members supposed to be contributing?

The Wrong Structure. If you read advice on how to run a board meeting you’ll get advice that would have felt comfortable to Andrew Carnegie or John D. Rockefeller.

In the age of the Internet why do we need to get together in one room on a fixed schedule? Why do we need to wait a month to six weeks to see progress? Why don’t we have standards for what metrics VC’s want to see from their early stage startup teams?

Angels In America
For angel-funded startups, life is even tougher. Data from the Startup Genome project shows that startups that have helpful mentors, listen to customers, and learn from startup thought leaders raise 7x more money and have 3.5x better user growth. If you’re in a technology cluster like Silicon Valley you may be able to attract ad hoc advice from experienced investors. But very little of it is formal, and almost none of it approaches the 50-100x experience level of professional investors.

As there’s no formal board, most of these angel/investors meetings are over coffees. And lacking a board meeting there’s no formal mechanism to get investor advice. Angel investments in mobile and web apps today are approaching the “throw it against the wall and see if it sticks” strategy.

And for startups outside of technology clusters, there’s almost no chance of attracting Silicon Valley VC’s or angels. Geography is a barrier to investment.

So given all this, the million dollar question is: Why in the age of the Internet haven’t we adopted the tools we build/sell to solve these problems?

In the next post – Reinventing the Board Meeting.

Lessons Learned

  • Early stage board meetings are often clones of large company board meetings
  • That’s very, very wrong
  • Angel-funded startups have no formal mechanism for experienced advice
  • There’s a better way

Listen to the post here: Download the Podcast here

The Lean LaunchPad at Stanford – The Final Presentations

The Stanford Lean LaunchPad class was an experiment in a new model of teaching startup entrepreneurship. This last post – part nine – highlights the final team presentations. Parts one through eight, the class lectures, are here, Guide for our mentors is here. Syllabus is here.

This is the End
Class lectures were over last week, but most teams kept up the mad rush to talk to even more customers and further refine their products. Now they were standing in front of us to give their final presentations. They had all worked hard. Teams spent an average of 50 to 100 hours a week on their companies, interviewed 50+ customers and surveyed hundreds (in some cases thousands) more.

While the slide presentations of each team are interesting to look at, that’s actually the sideshow. What really matters are the business model canvas diagrams in the body and appendix of each presentation. These diagrams are the visual representation of the how and the what a team learned in the class – how they tested their hypotheses by getting out of the building using the Customer Development process and what they learned about each part of their business model.

By comparing the changes the teams made week-to-week-week in their business model canvas diagrams, you’ll see the dynamics of entrepreneurship, as they iterate and Pivot over time. We believe these are the first visual representations of learning over time.

Team Agora

If you can’t see the Agora slides above, click here.

Team Autonomow

If you can’t see the Autonomow slides above, click here.
(p.s. they’re going to make a company out of this class project, and they’re hiring engineers.)

Team Blink Traffic

If you can’t see the Blink traffic slides above, click here.

Team D.C. Veritas

If you can’t see the D.C. Veritas slides above, click here.

Team Mammoptics

If you can’t see the Mammoptics slides above, click here.

Team OurCrave

If you can’t see the OurCrave slides above, click here.

Team PersonalLibraries

If you can’t see the PersonalLibraries slides above, click here.

Team PowerBlocks

If you can’t see the PowerBlocks slides above, click here.

Team Voci.us

If you can’t see the Voci.us slides above, click here.

———

Why Did We Teach This Class?
Many entrepreneurship courses focus on teaching students “how to write a business plan.” Others emphasize how to build a product. We believe the former is simply wrong and the later insufficient.

Business plans are fine for large companies where there is an existing market, existing product and existing customers, but in a startup all of these elements are unknown and the process of discovering them is filled with rapidly changing assumptions. Experienced entrepreneurs realize that no business plan survives first contact with customers. So our goal was to teach something actually useful in the lives of founders.

Building a product is a critical part of a startup, but just implementing build, measure, learn without a framework to understand customers, channel, pricing, etc. is just another engineering process, not building a business. In the real world a startup is about the search for a business model or more accurately, startups are a temporary organization designed to search for a scalable and repeatable business model. Therefore we developed a class to teach students how to think about all the parts of building a business, not just the product.

There was no single class to teach aspiring entrepreneurs all the skills involved in searching for a business model (business model design, customer and agile development, design thinking, etc.) in one quarter. The Lean LaunchPad was designed to fill that void.

What’s Different About the Class?
The Lean LaunchPad class was built around the business model / customer development / agile development solution stack. Students started by mapping their assumptions (their business model) and then each week they tested these hypotheses with customers and partners outside in the field (customer development) and used an iterative and incremental development methodology (agile development) to build the product.

The students were challenged to get users, orders, customers, etc. (and if a web-based product, a minimum feature set) all delivered in 8 weeks. Our goal was to get students out of the building to test each of the nine parts of their business model, understand which of their assumptions were wrong, make adjustments and continue to iterate based on what they learned.  They learned first-hand that faulty assumptions were not a crisis, but a learning event called a pivot —an opportunity to change the business model.

What Surprised Us?

  1. The combination of the Business Model Canvas and the Customer Development process was an extremely efficient template for the students to follow – even more than we expected.
  2. It drove a hyper-accelerated learning process which led the students to a “information dense” set of conclusions. (Translation: they learned a lot more, in a shorter period of time than in any other entrepreneurship course we’ve ever taught or seen.)
  3. The process worked for all types of startups – not just web software but from a diverse set of industries – wind turbines, autonomous vehicles and medical devices.
  4. Insisting that the students keep a weekly blog of their customer development activities gave us insight into their progress in powerful and unexpected ways. (Much more on this in subsequent blog posts.)

What Would We Change?

  1. In this first offering of the Lean Launchpad class we let students sign up without being part of a team. In hindsight this wasted at least a week of class time. Next year we’ll have the teams form before class starts. We’ll hold a mixer before the semester starts so students can meet each other and form teams. Then we’ll interview teams for admission to the class.
  2. Make Market Size estimates (TAM, SAM, addressable) part of Week 2 hypotheses
  3. Show examples of a multi-sided market (a la Google) in Week 3 or 4 lectures.
  4. Be more explicit about final deliverables; if you’re a physical product you must show us a costed bill of materials and a prototype. If you’re a web product you need to build it and have customers using it.
  5. Teach the channel lecture (currently week 5) before the demand creation lecture (currently week 4.)
  6. Have teams draw the diagram of “customer flow” in week 3 and payment flows in week 6.
  7. Have teams draw the diagram of a finance and operations timeline in week 9.
  8. Find a way to grade team dynamics – so we can really tell who works well together and who doesn’t.
  9. Video final presentations and post to the web. (We couldn’t get someone in time this year)

It Takes a Village
While I authored these blog posts, the class was truly a team project. Jon Feiber of Mohr Davidow Ventures and Ann Miura-Ko of Floodgate co-taught the class with me (with Alexander Osterwalder as a guest lecturer.) Thomas Haymore was our great teaching assistant. We were lucky to get a team of 25 mentors (VC’s and entrepreneurs) who selflessly volunteered their time to help coach the teams. Of course, a huge thanks to the 39 Stanford students who suffered through the 1.0 version of the class. And finally special thanks to the Stanford Technology Ventures Program; Tom Byers, Kathy Eisenhardt, Tina Selig for giving us the opportunity to experiment in course design.

E245, the Lean LaunchPad will be offered again next Winter.  See you there!
Listen to the post here: Download the Podcast here